Repertoire size, i.e. the number of unique song elements that an individual possesses, is thought to be an important target of female preference. However, the use of repertoire size reflects how researchers work with complex songs; while it does not necessary describe biological functions, as listeners of song may also rely on song composition. Specific syllables may have coherent consequences ...

The multi-sensor data fusion technique plays a significant role in fault diagnosis and in a variety of such applications, and the Dempster-Shafer evidence theory is employed to improve the system performance; whereas, it may generate a counter-intuitive result when the pieces of evidence highly conflict with each other. To handle this problem, a novel multi-sensor data fusion approach on the ba...

In order to solve the group decision making problems with ordinal interval preference information, a new decision method is proposed based on VIKOR method. The VIKOR method of compromise ranking determines a compromise solution, providing a maximum “group utility” for the “majority” and a minimum of an “individual regret” for the “opponent”, which is an effective tool in multi-attribute decisio...

Applied to skin color, the sexual selection hypothesis proposes that male preference for light-skinned females explains the presence of light skin in areas of low solar radiation. According to this proposal, in areas of high solar radiation, natural selection for dark skin overrides the universal preference of males for light females. But in areas in which natural selection ceases to act, sexua...

The K-modes clustering has received much attention, since it works well for categorical data sets. However, the performance of K-modes clustering is especially sensitive to the selection of initial cluster centers. Therefore, choosing the proper initial cluster centers is a key step for K-modes clustering. In this paper, we consider the initialization of K-modes clustering from the view of outl...

This paper studies strict preference relations on product sets induced by “ordinal aggregation methods”. Such methods are interpreted here as performing paired comparisons of alternatives based on the “importance” of attributes favoring each element of the pair: alternative x will be preferred to alternative y if the attributes for which x is better than y are “more important” than the attribut...

Abstract This paper provides insight into how variations in Level of Service (LoS) a toll road, socio-economic attributes, and latent factors simultaneously affect residential location, route, mode choices across population segments the Jakarta – Bandung region Indonesia. Three discrete choice models were developed based on stated-revealed preference survey choices. Our analysis shows that road...

Many distance-related algorithms, such as knearest neighbor learning algorithms, locally weighted learning algorithms etc, depend upon a good distance metric to be successful. In this kind of algorithms, a key problem is how to measure the distance between each pair of instances. In this paper, we provide a survey on distance metrics for nominal attributes, including some basic distance metrics...